+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.178.04 Driver Version: 580.178.04 CUDA Version: 13.0 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3070 ... On | 00000000:01:00.0 Off | N/A |
| N/A 52C P2 38W / 80W | 4127MiB / 8192MiB | 87% Default |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 4242 C python lerobot-train --policy.type=act 3912MiB |
| 0 N/A N/A 1337 G sharov.me 215MiB |
+-----------------------------------------------------------------------------------------+
aleksandr@dev~$whoami
Aleksandr Sharov
CS student at TU/e (Honors AI track), looking for an ML/AI engineering internship
I started my Computer Science bachelor at the Kazakh-British Technical University in Almaty and transferred to Eindhoven University of Technology in 2024. I am now in my final year.
Next to my studies I work part-time as a full-stack developer for an investment firm, where I build and run two production websites. At home I run my own server on a Raspberry Pi, which is where most of my infrastructure experiments start.
aleksandr@dev~$cat now.md
University software project with an industry client: matching employees to internal projects based on their CVs.
Benchmarking neural network inference on edge hardware.